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16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
The Effect of the Inhibition-Compensation Learning Scheme on n-tuple Based Classifier Performance
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
S. Hoque, University of Kent
M. C. Fairhurst, University of Kent
R. M. Guest, University of Kent
The Inhibition-Compensation Learning Scheme (ICLS) has been proposed as a way of enhancing the performance of the Moving Window Classifier . In this paper, the effect of ICLS on three n-tuple based classification techniques has been investigated. Presegmented handwritten characters from the NIST database have been used as the pattern data. Results show that approximately 2-6% gain in classification accuracy can be achieved in the OCR task domain with no adverse effect on the classification throughput.
Citation:
S. Hoque, M. C. Fairhurst, R. M. Guest, "The Effect of the Inhibition-Compensation Learning Scheme on n-tuple Based Classifier Performance," icpr, vol. 3, pp.30452, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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